Machine Learning and TSN with NXP's i.MX 8M Plus

In this demo we showcase the Machine Learning capabilities of NXP's i.MX 8M Plus as well as the improved performance in motion control thanks to TSN communication.
Follow us on:
LinkedIn - / nxp-semiconductors
Twitter - / nxp
facebook - / nxpsemi

[@nguyenngocly1484]

The fast Walsh Hadamard transform is a collection of orthogonal dot products. If you apply parametric activation functions after you have a very fast neural layer. Since the dot products are summary measures the system is highly statistical in nature. Practically you might do a random projection before the first layer and apply a WHT at the end as a pseudo-readout layer. Maybe f(x)=a.x x>=0, f(x)=b.x x